AI hid customer journeys. We brought them back into the light.

Colleen McCauley

Senior Vice President Marketing

Remember when we could map the customer journey? Every click, every pageview, every step from awareness to purchase was trackable, measurable, optimizable.

Marketers built funnels, measured drop-off rates, and knew exactly where customers were in their paths to your product at any given moment.

As AI answer engines swallow up organic search traffic, and the ability to track it, one thing is clear: that world is quickly disappearing.

The new gatekeepers

Today, a customer asks ChatGPT, “What are the best running shoes for someone with plantar fasciitis?” The AI delivers a single set of confident answers. No search results page. No comparison shopping. Just recommendations in a few bullet points—and your brand is either in that answer or it’s not.

Or consider this: A potential buyer asks Alexa, “Which coffee maker should I buy for under $100?” The algorithm processes thousands of reviews, product specs, and purchase patterns in milliseconds, then suggests three options. The consideration phase—traditionally the marketer’s playground—has been compressed into a fraction of a second inside a machine you can’t see into.

This is the reality of AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). The algorithm used to suggest directions amid a sea of information. Now it shuttles consumers directly to their destination. And for marketers, it’s created a black box around the most critical part of the customer journey.

How has AI changed customer experience research?

Traditional customer experience research was built for a different era. We’d track website analytics, monitor search queries, and measure conversion rates at each stage of the funnel. But here’s what we can’t see anymore:

  • The actual trigger. What specific need or pain point prompted the customer to start their search?
  • The question they asked. What exact words did they use when they spoke to their AI assistant?
  • The AI’s suggestions. What alternatives did the algorithm present alongside your brand?
  • The decision context. What trade-offs did the customer consider when choosing between the AI’s recommendations?
  • The emotional journey. How did they feel about the options presented, and what ultimately tipped the scales?

Your analytics might show that a customer arrived at your product page and made a purchase. But the consideration phase—where customer needs and customer motivation are shaped and where your brand either wins or loses—is now inside conversations with answer engines that you can’t see.

You’re flying blind.

Opening the black box with human stories

If you can’t get the story from the machine, you have to get it from the human.

This is where Journey Intelligence changes the game. Instead of trying to reverse-engineer the algorithm’s logic, we go directly to the source. We ask customers to tell us their stories.

Using AI chatbots trained like skilled focus group moderators, we prompt consumers to walk us through their entire journey: “Tell me about the last time you bought running shoes. What first triggered you to start looking? Where did you go first? What did you type or ask? How did you feel about what you found? What made you ultimately choose the brand you chose?”

The beauty of this approach is that it extracts insights from unstructured data—the rich, messy, human narratives that reveal not just what people did, but why they did it. Then we transform these stories into data-driven insights that traditional customer experience research simply can’t capture.

And this isn’t just qual at the scale of quant. It’s quant with the depth of qual. We go deep with customers to understand their stories, their journeys, and then from that we extract hard numbers that marketers can actually work with.

Customer journeys: five distinct paths to purchase

We recently conducted Journey Intelligence study with 500 consumers about their shoe-buying experiences. Their responses to our brief set of eight questions were revelatory—and a perfect illustration of why understanding the journey matters more than ever.

We didn’t find five types of people. We found five distinct paths to purchase:

The Brand Loyalists (34% of consumers)

These customers were replacing their favorites. Their purchase journey flowed from needing a replacement to purchase history informing their choice, to trust determining the purchase. They know what they want and whom they trust, so they focused on finding the right size, style, and price.

The Playbook: Prioritize retention strategies that make it easier for customers to reorder and clearly show what’s available in store.

The Impulse Shoppers (22% of consumers)

These customers saw a promotion and acted quickly, purchasing for value. They enter shopping environments without purchase intent but are triggered to buy with minimal research when presented with compelling deals and discounts.

The Playbook: Invest in high-visibility promotions and ads with time-sensitive offers to capture these spontaneous buyers.

The Research Gurus (17% of consumers)

These methodical shoppers had a specific need—often foot pain or activity-related. They visited multiple sites, combed positive product reviews, and sought relief through careful evaluation. They asked detailed questions like: “What is the best shoe for plantar fasciitis with arch support?”

The Playbook: Build robust positive reviews and provide product information that highlights medical features and durability. Structure content so AI tools can extract those features and recommend them.

The In-Store Testers (12% of consumers)

Motivated by pain or other medical needs, these tactile buyers needed to try shoes on in person. They headed to the store to test for immediate comfort, fit, and style. Once they found a product that fit their needs, they became the most active brand advocates.

The Playbook: Make sure these buyers have something to take home with them by ensuring your inventory has their size available. If your in-store experience delivers, they’ll keep coming back and talking about your brand to others.

The Socially Influenced (4% of consumers)

These style-conscious buyers relied heavily on recommendations from social influencers, friends, and family. Positive reviews triggered purchases that they posted about afterward. For these buyers, strong style and design appeal overcame price barriers.

The Playbook: Invest in influencer marketing and peer recommendation strategies while offering flexible pricing options, payment plans, to address price sensitivity.

Insights built for how people actually shop

Here’s the critical point: You can’t optimize for these journeys if you don’t know they exist.

Traditional consumer insights methods—surveys, focus groups, web analytics—would have told you that “comfort” and “price” matter to shoe buyers. But they wouldn’t have revealed that one-third of your customers are making impulse decisions based on algorithm-driven promotions, while another 20% are conducting medical-grade research and responding to entirely different content and messaging.

Journey Intelligence doesn’t just give you data. It gives you a playbook:

  • What triggers start each journey? So you can create content that answers the right questions at the right moment.
  • What path does each journey follow? So you can optimize the touchpoints that actually matter.
  • What converts each journey? So you can allocate budget to the tactics that drive results for each specific path.

This is custom research designed for the age of AI that acknowledges that the funnel isn’t linear anymore, and the journey isn’t always visible.

Reclaiming control

Answer engines may be the new gatekeepers, but you don’t have to accept the black box.

By understanding the full story of how customers actually find and choose your brand, you can built a brand strategy that works with these tools, instead of against them. Not through dashboards filled with vague analytics, but with consumers’ own words.

You can create content that AI wants to recommend. You can optimize experiences that convert each distinct journey. And you can move from anxiety about the “invisible journey” to confidence in a clear, actionable plan.

The customer journey hasn’t disappeared. It’s just changed shape. Journey Intelligence illuminates every step.

Ready to see what your customers’ journeys really look like—even in the age of AI?Contact PSB Insights to learn how Journey Intelligence can turn invisible paths into playbooks for growth. 

Knowledge that changes the game

Time to tackle that thorny problem

Let's talk